Intelligent manufacturing between people and machines, at any time and space can be interconnected and collaborate with each other to complete the task, in addition to the machine's own planning, action and monitoring, the person can be at any time and place to overhead the machine's situation. Automation before this existed one-sided emphasis on the automation of all aspects of the automation, almost ignoring the role of people, resulting in manufacturing efficiency is not high. However, human-machine integration highlights the core position of people in the manufacturing system, and in the cooperation of intelligent machines, a greater play of human potential, machine intelligence and human intelligence is truly integrated together, between people and machines to form a kind of equal **** thing, the relationship of mutual collaboration, each of the two show their ability to complement each other.

Two, the global virtualization of manufacturing resources, networking

The interconnection of human machines and things can not only form a virtualized smart factory, and then form a global manufacturing resources network, virtualization. The Internet has opened up the connection between people and people on a global scale, e-commerce has opened up the connection between people and commodities on a global scale, and smart manufacturing has opened up the connection between people, machines and things on a global scale, which enables manufacturing enterprises to efficiently integrate and utilize the vast amount of manufacturing resources, obtain high utilization rate of resources, and realize energy saving and reduction of energy consumption, quickly respond to market changes, and improve their competitiveness.

Three, self-organization, self-learning and self-maintenance

Intelligent manufacturing can collect, understand the environment and their own information, the components of the unit can be based on the needs of the task, composed of their own optimal structure, the use of knowledge for self-organization, analysis, judgment and planning of their own behavioral capabilities. Intelligent manufacturing application of knowledge are the knowledge of the knowledge base, and in the production and manufacturing of continuous learning, enrichment of the knowledge base, with self-learning capabilities. At the same time, it can also be in the operation process of fault self-diagnosis, self-exclusion and self-maintenance, so that the intelligent manufacturing system can self-optimization to adapt to a variety of complex environments.